Exploring the design factors of smart glasses

Abstract

Abstract--Advances in information technology (IT) have started to focus studies on human computer interaction (HCI) which is an area in computer science embracing cognitive science. In this approach there are various aspects of researches about HCI in order to explore how people design, implement, and use interactive computer systems and how computers affect individuals, organizations, and society. This study represents exploring the adoption factors of smart glasses. Technology adoption process establishes preferences and needs of people who use computers and smart systems. To address this issue, technology adoption is essential for a rapidly changing world where technology has become central to our lives. In that context, user interface (UI) which provides interaction between user and computer, plays significant role for technology adoption process.The purpose of the study is to examine the effects of smart glass design features; Stand-alone device, field of view, interaction, price, and display resolution on user preference through an experimental study by using conjoint analysis. In order to apply this study, an experimental study including a survey was designed. This survey also analyze social characteristics such as self-efficacy, anxiety, involvement, risktask characteristics, enjoyment, usefulness, ease of use, attitude and intention for user smart glasses interaction.

Applications of Smart Glasses in Applied Sciences: A Systematic Review

“…[61] 2018 In social science, a study was conducted on user information security associated with the use of smart glasses [62]. A marketing and psychology study was conducted to analyze the factors that influence consumers' social perception of smart glasses and device selection [63][64][65][66][67][68]. In the field of social sciences (Table 6), six studies (86% of the seven papers) focused on marketing and psychology.…”

Testing vision picking technology in warehouse operations: Evidence from laboratory experiments

“…To this point, it is worth mentioning that a significant number of vision picking devices has a really small field of view [19], and this fact creates multiple problems that deal with the performance and the safety of pickers when vision picking is adopted in industrial environments [22,23]. On the other hand, the larger fields of view increase the satisfaction level of pickers [24] as well as task performance [25]. The third parameter is the barcode type.…”

Adoption Barriers of IoT in Large Scale Pilots

“…Factors influencing the adoption of innovations with wearable sensors can be broadly categorized into general, physical and software characteristics. The general factors presented in the literature include the high price associated with emerging technology [33], culture and gender for specific wearables [34], social influence [35] and personal preferences [36,37].…”